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This paper presents a multidisciplinary approach to analyzing data from Telegram for early warning information regarding cyber threats. With the proliferation of hacktivist groups utilizing Telegram to disseminate information regarding future cyberattacks or to boast about successful ones, the need for effective data analysis methods is paramount. The primary challenge lies in the vast number of channels and the overwhelming volume of data, necessitating advanced techniques for discerning pertinent risks amidst th...

Hydrogen is gaining popularity as a fuel source for more and more fields around the globe. The use of hydrogen for transport represents one of the important applications of this chemical substance, in this sense the development of infrastructures, but especially the safety of hydrogen filling stations representing an important element. Using hydrogen to power transportation can reduce harmful ozone-depleting emissions while improving air quality. Hydrogen fuel cell vehicles can help improve air quality and solve c...

This study investigates the potential of automated geomorphological mapping using geomorphometric analysis and machine learning on the Yamal Peninsula, Russia. The research aims to classify landforms based solely on geomorphometric characteristics, bypassing traditional manual interpretation of aerial imagery and digital elevation models (DEMs). The study utilized a DEM of the Yamal Peninsula and a reference geomorphological map, including 10 distinct landform types. A total of 119 geomorphometric variables, inclu...

The work is dedicated to formalizing the process of designing embedded systems with distributed heterogeneous organization. The original model of representing a computational system as a set of computational platforms interconnected both hierarchically and within the same level is taken as the basis. The abstraction of a -design platform- is interpreted as a design solution that is fixed for reuse and provides an application interface for building an -upward- hierarchy of abstractions alongside specifications for ...

The paper presents the research and results obtained by authors concerning the reactor modeling of the catalytic cracking process using two methods: artificial neural network (ANN) and multiple linear regression (MLR). This study is structured in four parts. The first part presents the process description, and the existing models in the literature. The second part presents the multiple linear regression method, the reactor model obtained with this method, and the comparison between the output experimental data of ...

The modern monitoring and control systems that are currently used in most fields are based on intelligent algorithms, distributed management systems, and a new generation of communication buses. For the monitoring and control of the processes inside a greenhouse, the use of sophisticated algorithms or complex devices is not required. However, to make the activity more efficient and increase the production of a greenhouse, a proposed solution is to use data management and control system such as PLC and HMI devices,...

Route search engines are essential tools in online applications that address a wide range of user needs. However, the distribution of such applications and simple search engines presents a diverse landscape with different outputs for the same routing tasks. Although they rely on well-established algorithms, the use of different datasets often leads to different results. This paper aims to compare selected route search engines, investigate the differences in their outputs, and provide useful recommendations to user...

Digitalization and the concepts of Industry 4.0 undoubtedly contribute to companies' competitive advantage, which can be achieved, among other things, by improving the efficiency and stability of the production process through their implementation. The main purpose of the article is to demonstrate the impact of digitization on the most important indicators of production efficiency using the example of a student project of a production line simulation system, implemented by the Student Scientific Circle of Manageme...

This study assesses the efficiency of various geomorphometric terrain characteristics and a number of categorical geological parameters in training statistical models to create geomorphological maps. The study area is the central sector of the western coast of Yamal Peninsula (S = 10 400 km2). The terrain is exceptionally flat and morphologically similar, but the genesis and age of the surfaces are diverse. The background surface type is marine terraces of various (Middle Pleistocene to Holocene) ages, subsequentl...

Numerous studies have examined the potential integration of Building Information Modeling (BIM) with Geographic Information Systems (GIS), typically focusing on simplifying complex BIM data for presentation within a GIS environment. However, there is a unique circumstance with extensive geodetic databases that remain untapped in construction processes in Poland. The emergence of the more applicable IFC format version 4.3, particularly relevant to surveying, presents an opportunity. The article proposes leveraging ...

This study analyzes the impact of virtual collaboration tools on knowledge sharing in distributed and virtual teams, operating at the intersection of technology, human behavior, and organizational processes. It aims to unravel the complexities of knowledge sharing in modern workplaces by examining the role of these tools in facilitating knowledge exchange, identifying factors for effective practices, and exploring the impact of organizational culture and industry dynamics. Through empirical research, including a s...

Agricultural productivity and environmental changes can be greatly affected by agricultural and other land use. Mapping of vegetation and land cover is a fundamental way of managing the natural resources on the earth surface. To determine or study the crop productivities of any geographical location, agricultural land use is one of the crucial clues for reliable information. We aimed to investigate the effects of urbanization on agricultural lands in Sao Paulo city. A 30-year multi-temporal satellite imagery datas...

In the modern world, neural networks are becoming an integral part of human life. In particular, neural networks began to be used for the task of constructing information security tools; in connection with this, the need gradually began to arise to strengthen and improve the mechanisms of artificial intelligence itself, including when using big data technology. Let's consider the basic concepts of working with Big Data technology, in particular the processing of assimilation memory to build a general visual pictur...

Urban meteorological parameters and traffic emissions are characterized by microterritorial variability. Online weather and traffic information is the basis for creating online services to provide users with information about the toxicological risk, noise effects and thermal stress risk. The purpose of this work is to assess the possibilities of online environmental modeling. The methodology includes special field studies to select model parameters, developing models for online calculations of noise levels, concen...

Automation of complex technological and laboratory systems requires the creation of specialized mixed-critical computing systems. They must control the technological process at several levels (control subsystem) and maintain the user interface with technological data management (information subsystem). So, they execute tasks with significantly different criticality. Also, it is assumed that the development of physical components, the implementation and configuration of the control subsystem at different stages of ...

Cyber-physical physical systems find their place in all spheres of modern life and are in a stage of rapid development. The prospects for the development of cyber-physical systems affect the interests of society as a whole, so they should be considered not only in a technical, but also in a broader socio-cultural aspect. The scope of application of cyber-physical systems extends to industrial systems, energy, transport and military systems, as well as all types of life support systems. Researchers repeatedly consi...

Spiking neural networks (SNNs) is a promising research direction to their ability to imitate certain functions of brain. Hardware acceleration of SNN can offer orders of magnitude increase in performance and power efficiency. However, traditional hardware description languages have a barrier for rapid development and prototyping of custom internal hardware mechanisms that affect hardware construction throughout the entire processor structure. Mainstream high-level design methods also have disadvantages, e.g. poor ...

Utilizing algorithms for imaging medical results from CT, MRI, and PET into Virtual Reality. There is a growing interest in the field of medical imaging in understanding the impact of algorithm parameters on the quality and interpretability of the obtained images. In the developed software VRMed3D aimed at educating students using medical images in virtual reality technology, Gaussian noise was utilized to identify the most effective edge detection algorithms. The search was for an algorithm that provided the most...